Using Wide Table to manage web data: a survey. - Bin Yang 002; Weining Qian; Aoying Zhou (Frontiers Comput. Sci. China, 2008)

Query processing of massive trajectory data based on mapreduce. - Qiang Ma 003; Bin Yang 002; Weining Qian; Aoying Zhou (CloudDB@CIKM, 2009)

Scalable continuous range monitoring of moving objects in symbolic indoor space. - Bin Yang 002; Hua Lu 001; Christian S. Jensen (CIKM, 2009)

TRUSTER: TRajectory Data Processing on ClUSTERs. - Bin Yang 002; Qiang Ma 003; Weining Qian; Aoying Zhou (DASFAA, 2009)

Graph Model Based Indoor Tracking. - Christian S. Jensen; Hua Lu 001; Bin Yang 002 (Mobile Data Management, 2009)

Indexing the Trajectories of Moving Objects in Symbolic Indoor Space. - Christian S. Jensen; Hua Lu 001; Bin Yang 002 (SSTD, 2009)

Probabilistic threshold k nearest neighbor queries over moving objects in symbolic indoor space. - Bin Yang 002; Hua Lu 001; Christian S. Jensen (EDBT, 2010)

XML Structural Similarity Search Using MapReduce. - Peisen Yuan; Chaofeng Sha; Xiaoling Wang 004; Bin Yang 002; Aoying Zhou; Su Yang (WAIM, 2010)

Indoor - A New Data Management Frontier. - Christian S. Jensen; Hua Lu 001; Bin Yang 002 (IEEE Data Eng. Bull., 2010)

Harvesting facts from textual web sources by constrained label propagation. - Yafang Wang; Bin Yang 002; Lizhen Qu; Marc Spaniol; Gerhard Weikum (CIKM, 2011)

Spatio-temporal joins on symbolic indoor tracking data. - Hua Lu 001; Bin Yang 002; Christian S. Jensen (ICDE, 2011)

Efficient Approximate Similarity Search Using Random Projection Learning. - Peisen Yuan; Chaofeng Sha; Xiaoling Wang 004; Bin Yang 002; Aoying Zhou (WAIM, 2011)

Scalable spatio-temporal knowledge harvesting. - Yafang Wang; Bin Yang 002; Spyros Zoupanos; Marc Spaniol; Gerhard Weikum (WWW (Companion Volume), 2011)

EcoMark: evaluating models of vehicular environmental impact. - Chenjuan Guo; Yu Ma; Bin Yang 002; Christian S. Jensen; Manohar Kaul (SIGSPATIAL/GIS, 2012)

iPark: identifying parking spaces from trajectories. - Bin Yang 002; Nicolas Fantini; Christian S. Jensen (EDBT, 2013)

Towards context-aware search and analysis on social media data. - Leon Derczynski; Bin Yang 002; Christian S. Jensen (EDBT, 2013)

EcoTour: Reducing the Environmental Footprint of Vehicles Using Eco-routes. - Ove Andersen; Christian S. Jensen; Kristian Torp; Bin Yang 002 (MDM (1), 2013)

Building Accurate 3D Spatial Networks to Enable Next Generation Intelligent Transportation Systems. - Manohar Kaul; Bin Yang 002; Christian S. Jensen (MDM (1), 2013)

MOIR/UOTS: Trip Recommendation with User Oriented Trajectory Search. - Kuien Liu; Bin Yang 002; Shuo Shang; Yaguang Li; Zhiming Ding (MDM (1), 2013)

Using Incomplete Information for Complete Weight Annotation of Road Networks - Extended Version. - Bin Yang 002; Manohar Kaul; Christian S. Jensen (CoRR, 2013)

Travel Cost Inference from Sparse, Spatio-Temporally Correlated Time Series Using Markov Models. - Bin Yang 002; Chenjuan Guo; Christian S. Jensen (Proc. VLDB Endow., 2013)

Finding Shortest Paths on Terrains by Killing Two Birds with One Stone. - Manohar Kaul; Raymond Chi-Wing Wong; Bin Yang 002; Christian S. Jensen (Proc. VLDB Endow., 2013)

Stochastic skyline route planning under time-varying uncertainty. - Bin Yang 002; Chenjuan Guo; Christian S. Jensen; Manohar Kaul; Shuo Shang (ICDE, 2014)

Efficient Top-k Spatial Locality Search for Co-located Spatial Web Objects. - Qiang Qu; Siyuan Liu 001; Bin Yang 002; Christian S. Jensen (MDM (1), 2014)

Enabling Time-Dependent Uncertain Eco-Weights For Road Networks. - Yu Ma; Bin Yang 002; Christian S. Jensen (GeoRich@SIGMOD, 2014)

Integrating non-spatial preferences into spatial location queries. - Qiang Qu; Siyuan Liu 001; Bin Yang 002; Christian S. Jensen (SSDBM, 2014)

Towards Total Traffic Awareness. - Chenjuan Guo; Christian S. Jensen; Bin Yang 002 (SIGMOD Rec., 2014)

Using Incomplete Information for Complete Weight Annotation of Road Networks. - Bin Yang 002; Manohar Kaul; Christian S. Jensen (IEEE Trans. Knowl. Data Eng., 2014)

Personalized route recommendation using big trajectory data. - Jian Dai; Bin Yang 002; Chenjuan Guo; Zhiming Ding (ICDE, 2015)

EcoSky: Reducing vehicular environmental impact through eco-routing. - Chenjuan Guo; Bin Yang 002; Ove Andersen; Christian S. Jensen; Kristian Torp (ICDE, 2015)

Finding top-k local users in geo-tagged social media data. - Jinling Jiang; Hua Lu 001; Bin Yang 002; Bin Cui 001 (ICDE, 2015)

Efficient and Accurate Path Cost Estimation Using Trajectory Data. - Jian Dai; Bin Yang 002; Chenjuan Guo; Christian S. Jensen (CoRR, 2015)

EcoMark 2.0: empowering eco-routing with vehicular environmental models and actual vehicle fuel consumption data. - Chenjuan Guo; Bin Yang 002; Ove Andersen; Christian S. Jensen; Kristian Torp (GeoInformatica, 2015)

Network-Matched Trajectory-Based Moving-Object Database: Models and Applications. - Zhiming Ding; Bin Yang 002; Ralf Hartmut Güting; Yaguang Li (IEEE Trans. Intell. Transp. Syst., 2015)

Discovery of Path Nearby Clusters in Spatial Networks. - Shuo Shang; Kai Zheng 001; Christian S. Jensen; Bin Yang 002; Panos Kalnis; Guohe Li; Ji-Rong Wen (IEEE Trans. Knowl. Data Eng., 2015)

Toward personalized, context-aware routing. - Bin Yang 002; Chenjuan Guo; Yu Ma; Christian S. Jensen (VLDB J., 2015)

Finding Frequently Visited Indoor POIs Using Symbolic Indoor Tracking Data. - Hua Lu 001; Chenjuan Guo; Bin Yang 002; Christian S. Jensen (EDBT, 2016)

Finding non-dominated paths in uncertain road networks. - Saad Aljubayrin; Bin Yang 002; Christian S. Jensen; Rui Zhang 003 (SIGSPATIAL/GIS, 2016)

Path Cost Distribution Estimation Using Trajectory Data. - Jian Dai; Bin Yang 002; Chenjuan Guo; Christian S. Jensen; Jilin Hu (Proc. VLDB Endow., 2016)

Enabling Smart Transportation Systems: A Parallel Spatio-Temporal Database Approach. - Zhiming Ding; Bin Yang 002; Yuanying Chi; Limin Guo 002 (IEEE Trans. Computers, 2016)

Assessing the Accuracy Benefits of On-the-Fly Trajectory Selection in Fine-Grained Travel-Time Estimation. - Robert Waury; Jilin Hu; Bin Yang 002; Christian S. Jensen (MDM, 2017)

Enabling time-dependent uncertain eco-weights for road networks. - Jilin Hu; Bin Yang 002; Christian S. Jensen; Yu Ma (GeoInformatica, 2017)

Correlated Time Series Forecasting using Multi-Task Deep Neural Networks. - Razvan-Gabriel Cirstea; Darius-Valer Micu; Gabriel-Marcel Muresan; Chenjuan Guo; Bin Yang 002 (CIKM, 2018)

Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories. - Tung Kieu; Bin Yang 002; Chenjuan Guo; Christian S. Jensen (CIKM, 2018)

Learning to Route with Sparse Trajectory Sets. - Chenjuan Guo; Bin Yang 002; Jilin Hu; Christian S. Jensen (ICDE, 2018)

Finding Top-k Optimal Sequenced Routes. - Huiping Liu; Cheqing Jin; Bin Yang 002; Aoying Zhou (ICDE, 2018)

Stochastic Shortest Path Finding in Path-Centric Uncertain Road Networks. - Georgi Andonov; Bin Yang 002 (MDM, 2018)

aSTEP: Aau's Spatio-TEmporal Data Analytics Platform. - Marc Beuchert; Steffen Hald Jensen; Omar Ali Sheikh-Omar; Mathias Bach Svendsen; Bin Yang 002 (MDM, 2018)

Outlier Detection for Multidimensional Time Series Using Deep Neural Networks. - Tung Kieu; Bin Yang 002; Christian S. Jensen (MDM, 2018)

Learning to Route with Sparse Trajectory Sets - Extended Version. - Chenjuan Guo; Bin Yang 002; Jilin Hu; Christian S. Jensen (CoRR, 2018)

Finding Top-k Optimal Sequenced Routes - Full Version. - Huiping Liu; Cheqing Jin; Bin Yang 002; Aoying Zhou (CoRR, 2018)

A New Formulation of The Shortest Path Problem with On-Time Arrival Reliability. - Georgi Andonov; Bin Yang 002 (CoRR, 2018)

Correlated Time Series Forecasting using Deep Neural Networks: A Summary of Results. - Razvan-Gabriel Cirstea; Darius-Valer Micu; Gabriel-Marcel Muresan; Chenjuan Guo; Bin Yang 002 (CoRR, 2018)

Recurrent Multi-Graph Neural Networks for Travel Cost Prediction. - Jilin Hu; Chenjuan Guo; Bin Yang 002; Christian S. Jensen; Lu Chen 001 (CoRR, 2018)

Finding Top-k Shortest Paths with Diversity. - Huiping Liu; Cheqing Jin; Bin Yang 002; Aoying Zhou (IEEE Trans. Knowl. Data Eng., 2018)

Risk-aware path selection with time-varying, uncertain travel costs: a time series approach. - Jilin Hu; Bin Yang 002; Chenjuan Guo; Christian S. Jensen (VLDB J., 2018)

PACE: a PAth-CEntric paradigm for stochastic path finding. - Bin Yang 002; Jian Dai; Chenjuan Guo; Christian S. Jensen; Jilin Hu (VLDB J., 2018)

Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks. - Jilin Hu; Chenjuan Guo; Bin Yang 002; Christian S. Jensen (ICDE, 2019)

Towards Longitudinal Analytics on Social Media Data. - Fan Xia; Bin Yang 002; Chengcheng Yu; Weining Qian; Aoying Zhou (ICDE, 2019)

Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. - Tung Kieu; Bin Yang 002; Chenjuan Guo; Christian S. Jensen (IJCAI, 2019)

A Charging Scheduling System for Electric Vehicles using Vehicle-to-Grid. - Nicklas K. Breum; Martin N. Joergensen; Christian A. Knudsen; Laerke B. Kristensen; Bin Yang 002 (MDM, 2019)

A Practical Delivery Route Planning System. - Asger Gitz-Johansen; Mikkel Elkjaer Holm; Laurids Vinther Kirkeby; Dan Kristiansen; Alexander Stoica Ostenfeld; Morten Konggaard Schou; Bin Yang 002 (MDM, 2019)

PathRank: A Multi-Task Learning Framework to Rank Paths in Spatial Networks. - Sean Bin Yang; Bin Yang 002 (CoRR, 2019)

Editorial: mobile data management and analytics. - Takahiro Hara; Wang-Chien Lee; Bin Yang 002 (GeoInformatica, 2019)

Estimating travel speed distributions of paths in road networks using dual-input LSTMs. - Christopher Hansen Nielsen; Simon Makne Randers; Bin Yang 002; Niels Agerholm (IWCTS@SIGSPATIAL, 2020)

Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks. - Jilin Hu; Bin Yang 002; Chenjuan Guo; Christian S. Jensen; Hui Xiong 001 (ICDE, 2020)

A Hybrid Learning Approach to Stochastic Routing. - Simon Aagaard Pedersen; Bin Yang 002; Christian S. Jensen (ICDE, 2020)

Learning to Rank Paths in Spatial Networks. - Sean Bin Yang; Bin Yang 002 (ICDE, 2020)

A Correlated Time Series Forecast System. - Nicolaj Casanova Abildgaard; Casper Weiss Bang; Jonas Hansen; Tobias Lambek Jacobsen; Thomas Højriis Knudsen; Nichlas Ørts Lisby; Chenjuan Guo; Bin Yang 002 (MDM, 2020)

A Road Segment Attribute Completion System. - Razvan-Gabriel Cirstea; Hilmar Gústafsson; Rasmus Riis Grønbæk Pedersen; Rolf Hakon Verder Sehested; Tamas Imre Winkler; Bin Yang 002 (MDM, 2020)

Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes. - Jilin Hu; Jianbing Shen; Bin Yang 002; Ling Shao 001 (CoRR, 2020)

Force myography benchmark data for hand gesture recognition and transfer learning. - Thomas Buhl Andersen; Rógvi Eliasen; Mikkel Jarlund; Bin Yang 002 (CoRR, 2020)

Trajectory splicing. - Qiang Lu 005; Rencai Wang; Bin Yang 002; Zhiguang Wang (Knowl. Inf. Syst., 2020)

Anytime Stochastic Routing with Hybrid Learning. - Simon Aagaard Pedersen; Bin Yang 002; Christian S. Jensen (Proc. VLDB Endow., 2020)

Context-aware, preference-based vehicle routing. - Chenjuan Guo; Bin Yang 002; Jilin Hu; Christian S. Jensen; Lu Chen 001 (VLDB J., 2020)

Fast stochastic routing under time-varying uncertainty. - Simon Aagaard Pedersen; Bin Yang 002; Christian S. Jensen (VLDB J., 2020)

EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting. - Razvan-Gabriel Cirstea; Tung Kieu; Chenjuan Guo; Bin Yang 002; Sinno Jialin Pan (ICDE, 2021)

Fairness-aware Task Assignment in Spatial Crowdsourcing: Game-Theoretic Approaches. - Yan Zhao 008; Kai Zheng 001; Jiannan Guo 001; Bin Yang 002; Torben Bach Pedersen; Christian S. Jensen (ICDE, 2021)

Unsupervised Path Representation Learning with Curriculum Negative Sampling. - Sean Bin Yang; Chenjuan Guo; Jilin Hu; Jian Tang 005; Bin Yang 002 (IJCAI, 2021)

Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting - Full version. - Razvan-Gabriel Cirstea; Chenjuan Guo; Bin Yang 002 (CoRR, 2021)

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles - Extended Version. - David Campos 002; Tung Kieu; Chenjuan Guo; Feiteng Huang; Kai Zheng 001; Bin Yang 002; Christian S. Jensen (CoRR, 2021)

AutoCTS: Automated Correlated Time Series Forecasting - Extended Version. - Xinle Wu; Dalin Zhang 001; Chenjuan Guo; Chaoyang He 001; Bin Yang 002; Christian S. Jensen (CoRR, 2021)

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles. - David Campos 002; Tung Kieu; Chenjuan Guo; Feiteng Huang; Kai Zheng 001; Bin Yang 002; Christian S. Jensen (Proc. VLDB Endow., 2021)

AutoCTS: Automated Correlated Time Series Forecasting. - Xinle Wu; Dalin Zhang 001; Chenjuan Guo; Chaoyang He 001; Bin Yang 002; Christian S. Jensen (Proc. VLDB Endow., 2021)

Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems. - Frederik Baymler Mathiesen; Bin Yang 002; Jilin Hu (AAAI, 2022)

BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule. - Miao Zhang; Shirui Pan; Xiaojun Chang; Steven Su; Jilin Hu; Gholamreza Haffari; Bin Yang 002 (CVPR, 2022)

Spatio-temporal graph convolutional network for stochastic traffic speed imputation. - Carlos Enrique Muñiz-Cuza; Nguyen Ho; Eleni Tzirita Zacharatou; Torben Bach Pedersen; Bin Yang 002 (SIGSPATIAL/GIS, 2022)

Influence-aware Task Assignment in Spatial Crowdsourcing. - Xuanhao Chen 001; Yan Zhao 008; Kai Zheng 001; Bin Yang 002; Christian S. Jensen (ICDE, 2022)

Towards Spatio- Temporal Aware Traffic Time Series Forecasting. - Razvan-Gabriel Cirstea; Bin Yang 002; Chenjuan Guo; Tung Kieu; Shirui Pan (ICDE, 2022)

Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders. - Tung Kieu; Bin Yang 002; Chenjuan Guo; Razvan-Gabriel Cirstea; Yan Zhao 008; Yale Song; Christian S. Jensen (ICDE, 2022)

Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection. - Tung Kieu; Bin Yang 002; Chenjuan Guo; Christian S. Jensen; Yan Zhao 008; Feiteng Huang; Kai Zheng 001 (ICDE, 2022)

Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning. - Sean Bin Yang; Chenjuan Guo; Jilin Hu; Bin Yang 002; Jian Tang 005; Christian S. Jensen (ICDE, 2022)

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting. - Razvan-Gabriel Cirstea; Chenjuan Guo; Bin Yang 002; Tung Kieu; Xuanyi Dong; Shirui Pan (IJCAI, 2022)

RetroGraph: Retrosynthetic Planning with Graph Search. - Shufang Xie 003; Rui Yan 001; Peng Han 005; Yingce Xia; Lijun Wu 003; Chenjuan Guo; Bin Yang 002; Tao Qin 001 (KDD, 2022)

Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations. - Miao Zhang; Wei Huang 034; Bin Yang 002 (NeurIPS, 2022)

Weighted Mutual Learning with Diversity-Driven Model Compression. - Miao Zhang; Li Wang 148; David Campos 002; Wei Huang 034; Chenjuan Guo; Bin Yang 002 (NeurIPS, 2022)

Outlier Detection for Streaming Task Assignment in Crowdsourcing. - Yan Zhao 008; Xuanhao Chen 001; Liwei Deng 001; Tung Kieu; Chenjuan Guo; Bin Yang 002; Kai Zheng 001; Christian S. Jensen (WWW, 2022)

Influence-aware Task Assignment in Spatial Crowdsourcing (Technical Report). - Xuanhao Chen 001; Yan Zhao 008; Kai Zheng 001; Bin Yang 002; Christian S. Jensen (CoRR, 2022)

Towards Spatio-Temporal Aware Traffic Time Series Forecasting-Full Version. - Razvan-Gabriel Cirstea; Bin Yang 002; Chenjuan Guo; Tung Kieu; Shirui Pan (CoRR, 2022)

Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning - Extended Version. - Sean Bin Yang; Chenjuan Guo; Jilin Hu; Bin Yang 002; Jian Tang 005; Christian S. Jensen (CoRR, 2022)

Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection - Extended Version. - Tung Kieu; Bin Yang 002; Chenjuan Guo; Christian S. Jensen; Yan Zhao 008; Feiteng Huang; Kai Zheng 001 (CoRR, 2022)

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting-Full Version. - Razvan-Gabriel Cirstea; Chenjuan Guo; Bin Yang 002; Tung Kieu; Xuanyi Dong; Shirui Pan (CoRR, 2022)

Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey. - Dalin Zhang 001; Kaixuan Chen 001; Yan Zhao 008; Bin Yang 002; Lina Yao 001; Christian S. Jensen (CoRR, 2022)

A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis. - Yan Zhao 008; Liwei Deng 001; Xuanhao Chen 001; Chenjuan Guo; Bin Yang 002; Tung Kieu; Feiteng Huang; Torben Bach Pedersen; Kai Zheng 001; Christian S. Jensen (CoRR, 2022)

Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. - Xinle Wu; Dalin Zhang 001; Miao Zhang; Chenjuan Guo; Bin Yang 002; Christian S. Jensen (CoRR, 2022)

AutoPINN: When AutoML Meets Physics-Informed Neural Networks. - Xinle Wu; Dalin Zhang 001; Miao Zhang; Chenjuan Guo; Shuai Zhao 003; Yi Zhang; Huai Wang; Bin Yang 002 (CoRR, 2022)

A Pattern Discovery Approach to Multivariate Time Series Forecasting. - Yunyao Cheng 001; Chenjuan Guo; Kaixuan Chen 001; Kai Zhao 009; Bin Yang 002; Jiandong Xie; Christian S. Jensen; Feiteng Huang; Kai Zheng 001 (CoRR, 2022)

Semantic driven attention network with attribute learning for unsupervised person re-identification. - Simin Xu; Lingkun Luo; Jilin Hu; Bin Yang 002; Shiqiang Hu (Knowl. Based Syst., 2022)

Context-Aware Path Ranking in Road Networks. - Sean Bin Yang; Chenjuan Guo; Bin Yang 002 (IEEE Trans. Knowl. Data Eng., 2022)

LightPath: Lightweight and Scalable Path Representation Learning. - Sean Bin Yang; Jilin Hu; Chenjuan Guo; Bin Yang 002; Christian S. Jensen (KDD, 2023)

LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation - Extended Version. - David Campos 002; Miao Zhang; Bin Yang 002; Tung Kieu; Chenjuan Guo; Christian S. Jensen (CoRR, 2023)

A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction. - Haomin Yu; Yanru Song 001; Jilin Hu; Chenjuan Guo; Bin Yang 002 (CoRR, 2023)

A Summary of ICDE 2022 Research Session Panels. - Zhifeng Bao; Panagiotis Bouros; Reynold Cheng; Byron Choi; Anton Dignös; Wei Ding 003; Yixiang Fang; Boyang Han; Jilin Hu; Arijit Khan 001; Wenqing Lin; Xuemin Lin 001; et al. (IEEE Data Eng. Bull., 2023)

LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation. - David Campos 002; Miao Zhang; Bin Yang 002; Tung Kieu; Chenjuan Guo; Christian S. Jensen (Proc. ACM Manag. Data, 2023)

AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. - Xinle Wu; Dalin Zhang 001; Miao Zhang; Chenjuan Guo; Bin Yang 002; Christian S. Jensen (Proc. ACM Manag. Data, 2023)

MagicScaler: Uncertainty-aware, Predictive Autoscaling. - Zhicheng Pan; Yihang Wang 004; Yingying Zhang; Sean Bin Yang; Yunyao Cheng 001; Peng Chen 038; Chenjuan Guo; Qingsong Wen; Xiduo Tian; Yunliang Dou; Zhiqiang Zhou; Chengcheng Yang; et al. (Proc. VLDB Endow., 2023)

Profit Optimization in Spatial Crowdsourcing: Effectiveness and Efficiency. - Yan Zhao 008; Kai Zheng 001; Yunchuan Li; Jinfu Xia; Bin Yang 002; Torben Bach Pedersen; Rui Mao 001; Christian S. Jensen; Xiaofang Zhou 001 (IEEE Trans. Knowl. Data Eng., 2023)

Origin-Destination Travel Time Oracle for Map-based Services. - Yan Lin 006; Huaiyu Wan; Jilin Hu; Shengnan Guo 001; Bin Yang 002; Youfang Lin; Christian S. Jensen (Proc. ACM Manag. Data, 2023)

Multivariate Time Series Forecasting With Dynamic Graph Neural ODEs. - Ming Jin 005; Yu Zheng 013; Yuan-Fang Li; Siheng Chen; Bin Yang 002; Shirui Pan (IEEE Trans. Knowl. Data Eng., 2023)

CGF: A Category Guidance Based PM$_{2.5}$ Sequence Forecasting Training Framework. - Haomin Yu; Jilin Hu; Xinyuan Zhou; Chenjuan Guo; Bin Yang 002; Qingyong Li (IEEE Trans. Knowl. Data Eng., 2023)

Weakly Guided Adaptation for Robust Time Series Forecasting. - Yunyao Cheng 001; Peng Chen 038; Chenjuan Guo; Kai Zhao 009; Qingsong Wen; Bin Yang 002; Christian S. Jensen (Proc. VLDB Endow., 2023)

Multiple Time Series Forecasting with Dynamic Graph Modeling. - Kai Zhao 009; Chenjuan Guo; Yunyao Cheng 001; Peng Han 005; Miao Zhang; Bin Yang 002 (Proc. VLDB Endow., 2023)

Stochastic Routing with Arrival Windows. - Simon Aagaard Pedersen; Bin Yang 002; Christian S. Jensen; Jesper Møller (ACM Trans. Spatial Algorithms Syst., 2023)

Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models. - Zhe Li 011; Ronghui Xu 001; Jilin Hu; Zhong Peng; Xi Lu; Chenjuan Guo; Bin Yang 002 (CIKM, 2024)

Dependency-Aware Differentiable Neural Architecture Search. - Buang Zhang; Xinle Wu; Hao Miao 001; Chenjuan Guo; Bin Yang 002 (ECCV (55), 2024)

A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. - Hao Miao 001; Yan Zhao 008; Chenjuan Guo; Bin Yang 002; Kai Zheng 001; Feiteng Huang; Jiandong Xie; Christian S. Jensen (ICDE, 2024)

Routing with Massive Trajectory Data. - Christian S. Jensen; Bin Yang 002; Chenjuan Guo; Jilin Hu; Kristian Torp (ICDE, 2024)

Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting. - Peng Chen 038; Yingying Zhang; Yunyao Cheng 001; Yang Shu 001; Yihang Wang 004; Qingsong Wen; Bin Yang 002; Chenjuan Guo (ICLR, 2024)

Position: What Can Large Language Models Tell Us about Time Series Analysis. - Ming Jin 005; Yifan Zhang 004; Wei Chen 070; Kexin Zhang 007; Yuxuan Liang; Bin Yang 002; Jindong Wang 001; Shirui Pan; Qingsong Wen (ICML, 2024)

A Crystal Knowledge-Enhanced Pre-training Framework for Crystal Property Estimation. - Haomin Yu; Yanru Song 001; Jilin Hu; Chenjuan Guo; Bin Yang 002; Christian S. Jensen (ECML/PKDD (10), 2024)

Position Paper: What Can Large Language Models Tell Us about Time Series Analysis. - Ming Jin 005; Yifan Zhang 004; Wei Chen 070; Kexin Zhang 007; Yuxuan Liang; Bin Yang 002; Jindong Wang 001; Shirui Pan; Qingsong Wen (CoRR, 2024)

GTM: General Trajectory Modeling with Auto-regressive Generation of Feature Domains. - Yan Lin 006; Jilin Hu; Shengnan Guo 001; Bin Yang 002; Christian S. Jensen; Youfang Lin; Huaiyu Wan (CoRR, 2024)

QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models - Extended Version. - David Campos 002; Bin Yang 002; Tung Kieu; Miao Zhang; Chenjuan Guo; Christian S. Jensen (CoRR, 2024)

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. - Yiyuan Yang; Ming Jin 005; Haomin Wen; Chaoli Zhang 001; Yuxuan Liang; Lintao Ma; Yi Wang 022; Chenghao Liu; Bin Yang 002; Zenglin Xu; Jiang Bian 001; Shirui Pan; et al. (CoRR, 2024)

ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning. - Yihang Wang 004; Yuying Qiu; Peng Chen 038; Kai Zhao 009; Yang Shu 001; Zhongwen Rao; Lujia Pan; Bin Yang 002; Chenjuan Guo (CoRR, 2024)

Efficient Stochastic Routing in Path-Centric Uncertain Road Networks - Extended Version. - Chenjuan Guo; Ronghui Xu 001; Bin Yang 002; Ye Yuan; Tung Kieu; Yan Zhao 008; Christian S. Jensen (CoRR, 2024)

Orca: Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models. - Zhe Li 011; Ronghui Xu 001; Jilin Hu; Zhong Peng; Xi Lu; Chenjuan Guo; Bin Yang 002 (CoRR, 2024)

FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting. - Zhe Li 011; Xiangfei Qiu; Peng Chen 038; Yihang Wang 004; Hanyin Cheng; Yang Shu 001; Jilin Hu; Chenjuan Guo; Aoying Zhou; Qingsong Wen; Christian S. Jensen; Bin Yang 002 (CoRR, 2024)

DiffImp: Efficient Diffusion Model for Probabilistic Time Series Imputation with Bidirectional Mamba Backbone. - Hongfan Gao; Wangmeng Shen; Xiangfei Qiu; Ronghui Xu 001; Jilin Hu; Bin Yang 002 (CoRR, 2024)

MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast. - Shiyan Hu 004; Kai Zhao 009; Xiangfei Qiu; Yang Shu 001; Jilin Hu; Bin Yang 002; Chenjuan Guo (CoRR, 2024)

Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning. - Kai Zhao 009; Zhihao Zhuang; Chenjuan Guo; Hao Miao 001; Yunyao Cheng 001; Bin Yang 002 (CoRR, 2024)

TEAM: Topological Evolution-aware Framework for Traffic Forecasting-Extended Version. - Duc Kieu; Tung Kieu; Peng Han 005; Bin Yang 002; Christian S. Jensen; Bac Le (CoRR, 2024)

Air Quality Prediction with Physics-Informed Dual Neural ODEs in Open Systems. - Jindong Tian; Yuxuan Liang; Ronghui Xu 001; Peng Chen 038; Chenjuan Guo; Aoying Zhou; Lujia Pan; Zhongwen Rao; Bin Yang 002 (CoRR, 2024)

Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching-Extended Version. - Hao Miao 001; Ziqiao Liu; Yan Zhao 008; Chenjuan Guo; Bin Yang 002; Kai Zheng 001; Christian S. Jensen (CoRR, 2024)

MM-Path: Multi-modal, Multi-granularity Path Representation Learning - Extended Version. - Ronghui Xu 001; Hanyin Cheng; Chenjuan Guo; Hongfan Gao; Jilin Hu; Sean Bin Yang; Bin Yang 002 (CoRR, 2024)

Coalition-based task assignment with priority-aware fairness in spatial crowdsourcing. - Yan Zhao 008; Kai Zheng 001; Ziwei Wang; Liwei Deng 001; Bin Yang 002; Torben Bach Pedersen; Christian S. Jensen; Xiaofang Zhou 001 (VLDB J., 2024)

TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods. - Xiangfei Qiu; Jilin Hu; Lekui Zhou; Xingjian Wu; Junyang Du; Buang Zhang; Chenjuan Guo; Aoying Zhou; Christian S. Jensen; Zhenli Sheng; Bin Yang 002 (Proc. VLDB Endow., 2024)

Multi-granularity attention in attention for person re-identification in aerial images. - Simin Xu; Lingkun Luo; Haichao Hong; Jilin Hu; Bin Yang 002; Shiqiang Hu (Vis. Comput., 2024)

QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models. - David Campos 002; Bin Yang 002; Tung Kieu; Miao Zhang; Chenjuan Guo; Christian S. Jensen (Proc. VLDB Endow., 2024)

Efficient Stochastic Routing in Path-Centric Uncertain Road Networks. - Chenjuan Guo; Ronghui Xu 001; Bin Yang 002; Yuan Ye; Tung Kieu; Yan Zhao 008; Christian S. Jensen (Proc. VLDB Endow., 2024)

AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting. - Xinle Wu; Xingjian Wu; Bin Yang 002; Lekui Zhou; Chenjuan Guo; Xiangfei Qiu; Jilin Hu; Zhenli Sheng; Christian S. Jensen (VLDB J., 2024)

Editorial: DSAA 2023 journal track on theoretical and practical data science and analytics. - Bin Yang 002; Feida Zhu 001; Wei Wei 002 (Int. J. Data Sci. Anal., 2024)

A Memory Guided Transformer for Time Series Forecasting. - Yunyao Cheng 001; Chenjuan Guo; Bin Yang 002; Haomin Yu; Kai Zhao 009; Christian S. Jensen (Proc. VLDB Endow., 2024)

TEAM: Topological Evolution-aware Framework for Traffic Forecasting. - Duc Kieu; Tung Kieu; Peng Han 005; Bin Yang 002; Christian S. Jensen; Bac Le (Proc. VLDB Endow., 2024)

Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching. - Hao Miao 001; Ziqiao Liu; Yan Zhao 008; Chenjuan Guo; Bin Yang 002; Kai Zheng 001; Christian S. Jensen (Proc. VLDB Endow., 2024)

Fully Automated Correlated Time Series Forecasting in Minutes. - Xinle Wu; Xingjian Wu; Dalin Zhang 001; Miao Zhang; Chenjuan Guo; Bin Yang 002; Christian S. Jensen (Proc. VLDB Endow., 2024)

RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems. - Biao Ouyang; Yingying Zhang; Hanyin Cheng; Yang Shu 001; Chenjuan Guo; Bin Yang 002; Qingsong Wen; Lunting Fan; Christian S. Jensen (Proc. VLDB Endow., 2024)

Noise Matters: Cross Contrastive Learning for Flink Anomaly Detection. - Zhihao Zhuang; Yingying Zhang; Kai Zhao 009; Chenjuan Guo; Bin Yang 002; Qingsong Wen; Lunting Fan (Proc. VLDB Endow., 2024)

Adversarial Graph Neural Network for Multivariate Time Series Anomaly Detection. - Bolong Zheng; Lingfeng Ming; Kai Zeng 002; Mengtao Zhou; Xinyong Zhang; Tao Ye; Bin Yang 002; Xiaofang Zhou 001; Christian S. Jensen (IEEE Trans. Knowl. Data Eng., 2024)

Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components. - Tengxue Zhang; Yang Shu 001; Xinyang Chen 001; Yifei Long; Chenjuan Guo; Bin Yang 002 (AAAI, 2025)

Enhancing Diversity for Data-free Quantization. - Kai Zhao 009; Zhihao Zhuang; Miao Zhang; Chenjuan Guo; Yang Shu 001; Bin Yang 002 (CVPR, 2025)

AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification. - Yuxuan Chen; Shanshan Huang; Yunyao Cheng 001; Peng Chen 038; Zhongwen Rao; Yang Shu 001; Bin Yang 002; Lujia Pan; Chenjuan Guo (ICDE, 2025)

AID-SQL: Adaptive In-Context Learning of Text-to-SQL with Difficulty-Aware Instruction and Retrieval-Augmented Generation. - Xiuwen Li; Qifeng Cai; Yang Shu 001; Chenjuan Guo; Bin Yang 002 (ICDE, 2025)

EasyTime: Time Series Forecasting Made Easy. - Xiangfei Qiu; Xiuwen Li; Ruiyang Pang; Zhicheng Pan; Xingjian Wu; Liu Yang; Jilin Hu; Yang Shu 001; Xuesong Lu; Chengcheng Yang; Chenjuan Guo; Aoying Zhou; et al. (ICDE, 2025)

Towards Lightweight Time Series Forecasting: A Patch-Wise Transformer with Weak Data Enriching. - Meng Wang 015; Jintao Yang; Bin Yang 002; Hui Li 005; Tongxin Gong; Bo Yang 041; Jiangtao Cui (ICDE, 2025)

Data Driven Decision Making with Time Series and Spatio-Temporal Data. - Bin Yang 002; Yuxuan Liang; Chenjuan Guo; Christian S. Jensen (ICDE, 2025)

Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation. - Sicong Liu; Yang Shu 001; Chenjuan Guo; Bin Yang 002 (ICLR, 2025)

Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders. - Qichao Shentu; Beibu Li; Kai Zhao 009; Yang Shu 001; Zhongwen Rao; Lujia Pan; Bin Yang 002; Chenjuan Guo (ICLR, 2025)

Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems. - Jindong Tian; Yuxuan Liang; Ronghui Xu 001; Peng Chen 038; Chenjuan Guo; Aoying Zhou; Lujia Pan; Zhongwen Rao; Bin Yang 002 (ICLR, 2025)

CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching. - Xingjian Wu; Xiangfei Qiu; Zhengyu Li; Yihang Wang 004; Jilin Hu; Chenjuan Guo; Hui Xiong 001; Bin Yang 002 (ICLR, 2025)

MM-Path: Multi-modal, Multi-granularity Path Representation Learning. - Ronghui Xu 001; Hanyin Cheng; Chenjuan Guo; Hongfan Gao; Jilin Hu; Sean Bin Yang; Bin Yang 002 (KDD (1), 2025)

DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting. - Xiangfei Qiu; Xingjian Wu; Yan Lin 006; Chenjuan Guo; Jilin Hu; Bin Yang 002 (KDD (1), 2025)

Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era. - Zijian Zhang 009; Hao Miao 001; Yuxuan Liang; Yan Zhao 008; Xiao Han 004; Pengyue Jia; Bin Yang 002; Christian S. Jensen (WWW (Companion Volume), 2025)

SEE: See Everything Every Time - Adaptive Brightness Adjustment for Broad Light Range Images via Events. - Yunfan Lu; Xiaogang Xu 002; Hao Lu 009; Yanlin Qian; Pengteng Li; Huizai Yao; Bin Yang 002; Junyi Li; Qianyi Cai; Weiyu Guo; Hui Xiong 001 (CoRR, 2025)

Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey. - Yuxuan Liang; Haomin Wen; Yutong Xia; Ming Jin 005; Bin Yang 002; Flora Salim; Qingsong Wen; Shirui Pan; Gao Cong (CoRR, 2025)

Spatio-Temporal Prediction on Streaming Data: A Unified Federated Continuous Learning Framework. - Hao Miao 001; Yan Zhao 008; Chenjuan Guo; Bin Yang 002; Kai Zheng 001; Christian S. Jensen (IEEE Trans. Knowl. Data Eng., 2025)

Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline. - Xvyuan Liu; Xiangfei Qiu; Xingjian Wu; Zhengyu Li; Chenjuan Guo; Jilin Hu; Bin Yang 002 (CoRR, 2025)

K2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting. - Xingjian Wu; Xiangfei Qiu; Hongfan Gao; Jilin Hu; Bin Yang 002; Chenjuan Guo (CoRR, 2025)

LightGTS: A Lightweight General Time Series Forecasting Model. - Yihang Wang 004; Yuying Qiu; Peng Chen 038; Yang Shu 001; Zhongwen Rao; Lujia Pan; Bin Yang 002; Chenjuan Guo (CoRR, 2025)

Prioritizing Alignment Paradigms over Task-Specific Model Customization in Time-Series LLMs. - Wei Li; Yunyao Cheng 001; Xinli Hao; Chaohong Ma; Yuxuan Liang; Bin Yang 002; Christian S. Jensen; Xiaofeng Meng 001 (CoRR, 2025)

TAB: Unified Benchmarking of Time Series Anomaly Detection Methods. - Xiangfei Qiu; Zhe Li 011; Wanghui Qiu; Shiyan Hu 004; Lekui Zhou; Xingjian Wu; Zhengyu Li; Chenjuan Guo; Aoying Zhou; Zhenli Sheng; Jilin Hu; Christian S. Jensen; et al. (CoRR, 2025)

CC-Time: Cross-Model and Cross-Modality Time Series Forecasting. - Peng Chen 038; Yihang Wang 004; Yang Shu 001; Yunyao Cheng 001; Kai Zhao 009; Zhongwen Rao; Lujia Pan; Bin Yang 002; Chenjuan Guo (CoRR, 2025)

Gaussian Process Latent Variable Modeling for Few-Shot Time Series Forecasting. - Yunyao Cheng 001; Chenjuan Guo; Kaixuan Chen 001; Kai Zhao 009; Bin Yang 002; Jiandong Xie; Christian S. Jensen; Feiteng Huang; Kai Zheng 001 (IEEE Trans. Knowl. Data Eng., 2025)

UVTM: Universal Vehicle Trajectory Modeling With ST Feature Domain Generation. - Yan Lin 006; Jilin Hu; Shengnan Guo 001; Bin Yang 002; Christian S. Jensen; Youfang Lin; Huaiyu Wan (IEEE Trans. Knowl. Data Eng., 2025)